Model comparison

Llama 3.1-70B vs Sonar

Sonar is the stronger model overall, scoring 38.5 to 29.6 on the Noometry Index. Llama 3.1-70B costs 2.5× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Sonar Perplexity

38.5

Rank #187 Confirmed

Summary

  • The widest gap is in math, where Sonar leads 33.7 to 13.5.
  • Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $1 / $1 for Sonar.
  • Llama 3.1-70B has downloadable open weights; the other is API-only.

Side by side

Llama 3.1-70B and Sonar specifications
Llama 3.1-70BSonar
ProviderMetaPerplexity
Noometry Index29.638.5
Released2024-07-232024-01-01
WeightsOpenProprietary
Context window128K128K
Max output4K4K
Input $ / M tokens$0.40$1
Output $ / M tokens$0.40$1
Results tracked357

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Category by category

Coding Sonar leads

Llama 3.1-70B: 30.3 (#296), Sonar: 35.7 (#221)

Coding benchmarks
BenchmarkLlama 3.1-70BSonar
WeirdML9%—
BigCodeBench Instruct46.1%—
LiveBench Coding—35.1%
LMArena Coding1260—
BigCodeBench Complete54.8%—

Agentic & Tool Use Not comparable

Llama 3.1-70B: 25.1 (#112), Sonar: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-70BSonar
TheAgentCompany6.9%—
BALROG27.9%—

Reasoning Too close to call

Llama 3.1-70B: 21.6 (#220), Sonar: 21.1 (#227)

Reasoning benchmarks
BenchmarkLlama 3.1-70BSonar
LiveBench Reasoning—46.3%
LMArena Hard Prompts1241—
DTBench60%—
LiveBench Data Analysis—37.9%
LMCA14.8%—
Epoch Capabilities Index125.92—
LiveBench—46.9%

Math Sonar leads

Llama 3.1-70B: 13.5 (#304), Sonar: 33.7 (#200)

Math benchmarks
BenchmarkLlama 3.1-70BSonar
OTIS Mock AIME 2024-20253.6%—
Omni-MATH21%—
LiveBench Math—41.6%
LMArena Math1252—
MATH Level 536.7%—

Knowledge Not comparable

Llama 3.1-70B: 24.2 (#269), Sonar: —

Knowledge benchmarks
BenchmarkLlama 3.1-70BSonar
GPQA Diamond44.2%—
MMLU-Pro65.3%—
GPQA (HELM)42.6%—
LMArena Expert1209—
MMLU80.1%—

Multilingual Not comparable

Llama 3.1-70B: 38.8 (#225), Sonar: —

Multilingual benchmarks
BenchmarkLlama 3.1-70BSonar
LMArena Non-English1219—
LMArena Chinese1215—
LMArena French1261—
LMArena German1222—
LMArena Japanese1132—
LMArena Korean1140—
LMArena Russian1234—
LMArena Spanish1253—

Instruction Following Sonar leads

Llama 3.1-70B: 65.3 (#223), Sonar: 71.4 (#150)

Instruction Following benchmarks
BenchmarkLlama 3.1-70BSonar
LiveBench Instruction Following—76.2%
IFEval82.1%—
LMArena Instruction Following1231—

Long Context Not comparable

Llama 3.1-70B: 37.6 (#214), Sonar: —

Long Context benchmarks
BenchmarkLlama 3.1-70BSonar
LMArena Longer Query1241—

Writing & Preference Sonar leads

Llama 3.1-70B: 35.4 (#267), Sonar: 52.6 (#167)

Writing & Preference benchmarks
BenchmarkLlama 3.1-70BSonar
LMArena Text1261—
LMArena Creative Writing1232—
EQ-Bench Creative Writing784—
WildBench75.8%—
LMArena Multi-Turn1256—
LiveBench Language—44.1%

Frequently asked questions

Is Llama 3.1-70B better than Sonar?

Sonar is the stronger model overall, scoring 38.5 to 29.6 on the Noometry Index. Llama 3.1-70B costs 2.5× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.

Which is cheaper, Llama 3.1-70B or Sonar?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Sonar lists at $1 and $1.

Is Llama 3.1-70B or Sonar better for coding?

Sonar scores higher on coding benchmarks: 35.7 versus 30.3 in the Noometry coding category.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do Llama 3.1-70B and Sonar share?

0 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Sonar has 7.

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